Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Generational Differences in Work Values: A Review of Theory and Evidence
This map shows the geographic impact of Peter Urwin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter Urwin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Urwin more than expected).
This network shows the impact of papers produced by Peter Urwin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter Urwin. The network helps show where Peter Urwin may publish in the future.
Co-authorship network of co-authors of Peter Urwin
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Urwin.
A scholar is included among the top collaborators of Peter Urwin based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Peter Urwin. Peter Urwin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Urwin, Peter, Matthew Gould, & Giulia Faggio. (2016). Estimating the Value of Discounted Rental Accommodation for London’s ‘Squeezed’ Key Workers. WestminsterResearch (University of Westminster).1 indexed citations
5.
Buscha, Franz, et al.. (2014). Estimating earnings returns to vocational qualifications using administrative data. WestminsterResearch (University of Westminster).1 indexed citations
6.
Urwin, Peter & Franz Buscha. (2012). The role of small businesses in employment and enterprise. WestminsterResearch (University of Westminster).1 indexed citations
Blanden, Jo, Franz Buscha, Patrick Sturgis, & Peter Urwin. (2010). Measuring the Returns to Lifelong Learning. CEE DP 110..3 indexed citations
10.
Parry, Emma & Peter Urwin. (2009). Tapping into talent: the age factor and generation issues. WestminsterResearch (University of Westminster).4 indexed citations
11.
Dearden, Lorraine, et al.. (2008). Estimating ethnic parity in Jobcentre Plus programmes: a quantitative analysis using the Work and Pensions Longitudinal Study (WPLS). UCL Discovery (University College London).2 indexed citations
12.
Urwin, Peter, et al.. (2008). Small businesses in the UK: new perspectives on evidence and policy. WestminsterResearch (University of Westminster).7 indexed citations
13.
Urwin, Peter, et al.. (2008). The role of brands in UK economy and society. WestminsterResearch (University of Westminster).2 indexed citations
14.
Clarke, Linda, et al.. (2008). Implementing diversity employment policies: examples from large London companies. WestminsterResearch (University of Westminster).1 indexed citations
Urwin, Peter & Giorgio Di Pietro. (2003). Measuring the impact of higher education quality inputs on the first destinations of graduates Do QAA aspect scores add to the explanation?. OpenGrey (Institut de l'Information Scientifique et Technique).2 indexed citations
18.
Dorsett, Richard, et al.. (2001). New deal for young people: national survey of participants: stage 2. WestminsterResearch (University of Westminster).12 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.